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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
immunology and microbiology
Prediction of cardiovascular events in rheumatoid arthritis using risk age calculations: Evaluation of concordance across risk age models
Arthritis Research and Therapy, Volume 22, No. 1, Article 90, Year 2020
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Description
Background: In younger individuals, low absolute risk of cardiovascular disease (CVD) may conceal an increased risk age and relative risk of CVD. Calculation of risk age is proposed as an adjuvant to absolute CVD risk estimation in European guidelines. We aimed to compare the discriminative ability of available risk age models in prediction of CVD in rheumatoid arthritis (RA). Secondly, we also evaluated the performance of risk age models in subgroups based on RA disease characteristics. Methods: RA patients aged 30-70 years were included from an international consortium named A Trans-Atlantic Cardiovascular Consortium for Rheumatoid Arthritis (ATACC-RA). Prior CVD and diabetes mellitus were exclusion criteria. The discriminatory ability of specific risk age models was evaluated using c-statistics and their standard errors after calculating time until fatal or non-fatal CVD or last follow-up. Results: A total of 1974 patients were included in the main analyses, and 144 events were observed during follow-up, the median follow-up being 5.0 years. The risk age models gave highly correlated results, demonstrating R 2 values ranging from 0.87 to 0.97. However, risk age estimations differed > 5 years in 15-32% of patients. C-statistics ranged 0.68-0.72 with standard errors of approximately 0.03. Despite certain RA characteristics being associated with low c-indices, standard errors were high. Restricting analysis to European RA patients yielded similar results. Conclusions: The cardiovascular risk age and vascular age models have comparable performance in predicting CVD in RA patients. The influence of RA disease characteristics on the predictive ability of these prediction models remains inconclusive. © 2020 The Author(s).
Authors & Co-Authors
Sexton, Joseph Owen
Norway, Oslo
Diakonhjemmet Sykehus
Ikdahl, Eirik
Norway, Oslo
Diakonhjemmet Sykehus
Rollefstad, Silvia
Norway, Oslo
Diakonhjemmet Sykehus
Kitas, George D.
United Kingdom, Birmingham
University of Birmingham
United Kingdom, Dudley
The Dudley Group Nhs Foundation Trust
van Riel, Piet L.C.M.
Netherlands, Nijmegen
Radboud Universiteit
Gabriel, Sherine E.
United States, Piscataway
Rutgers Robert Wood Johnson Medical School
Kvien, Tore Kristian
Norway, Oslo
Diakonhjemmet Sykehus
Douglas, Karen May Jane
United Kingdom, Dudley
The Dudley Group Nhs Foundation Trust
Sandoo, Aamer
United Kingdom, Dudley
The Dudley Group Nhs Foundation Trust
United Kingdom, Bangor
Bangor University
Arts, Elke E.A.
Netherlands, Nijmegen
Radboud Universiteit
Wållberg-Jonsson, Solveig
Sweden, Umea
Umeå Universitet
Rantapåå-Dahlqvist, Solbritt
Sweden, Umea
Umeå Universitet
Karpouzas, George Athanasios
United States, Torrance
Harbor-ucla Medical Center
Dessein, Patrick Hector M.C.
Belgium, Brussels
Vrije Universiteit Brussel
Belgium, Jette
Universitair Ziekenhuis Brussel
Tsang, Linda
Belgium, Jette
Universitair Ziekenhuis Brussel
El-Gabalawy, Hani S.
Canada, Winnipeg
University of Manitoba
Hitchon, Carol Ann
Canada, Winnipeg
University of Manitoba
Pascual-Ramos, Virginia
Unknown Affiliation
SFIKAKIS, P. Paul
Greece, Athens
National and Kapodistrian University of Athens
González-Gay, Miguel Ángel
Spain, Santander
Universidad de Cantabria
Crowson, Cynthia S.
United States, Rochester
Mayo Clinic
Semb, Anne Grete P.
Norway, Oslo
Diakonhjemmet Sykehus
Statistics
Citations: 10
Authors: 22
Affiliations: 15
Identifiers
Doi:
10.1186/s13075-020-02178-z
ISSN:
14786354
Research Areas
Noncommunicable Diseases
Study Design
Cohort Study